系统评价与Meta分析的结果解读与可视化呈现——决策者和患者的视角
Interpretation and visualization of the results of systematic review and meta-analysis——the perspectives of decision makers and patients
毕桢干 1黄桥 2阎思宇 2原萌谦 3和婧 4田灵慧 4刘昕雨 5何伟杰 4靳英辉 2秦丹梅1
作者信息
- 1. 湖北中医药大学附属湖北省中医院(武汉 430061)
- 2. 武汉大学中南医院循证与转化医学中心(武汉 430071);武汉大学循证与转化医学中心(武汉 430071);武汉大学第二临床学院循证医学与临床流行病学教研室(武汉 430071)
- 3. 南京中医药大学附属医院、江苏省中医院针灸康复科(南京 210029)
- 4. 武汉大学第二临床学院(武汉 430071)
- 5. 武汉大学基础医学院(武汉 430071)
- 折叠
摘要
系统评价与Meta分析作为最高级别的循证医学证据,是指导医务人员进行医疗决策中不可或缺的部分,同时患者作为共同决策的主体地位不断攀升.目前系统评价和Meta分析的结果主要通过效应量(相对危险度或均数差)、森林图等形式呈现,表达不够直观,专业性强,循证证据指导临床决策过程滞后,无法满足快速决策的需求.随着人工智能和大数据分析工具的不断进步,研究者试图引入可视化呈现方式,从而改善临床决策的时效性.本文通过对系统评价与Meta分析的结局指标解读,在患者和临床决策者视角下呈现不同可视化结果,让广大无医学背景群体更直观理解临床证据并参与做出临床决策的过程,有助于提升居民健康素养,促进知识的传播和共享,而且为进一步推动自动化辅助决策系统技术提供参考.
Abstract
Systematic review(SR)and meta-analysis,as the highest level of evidence-based medicine,are an indispensable part of guiding medical staff to make medical decisions.At the same time,the status of patients as shared decision-making is rising.At present,the results of SR and meta-analysis are mainly presented in the form of effect(relative risk or mean difference)and forest plot.The expression is not intuitive or professional.The process of evidence-based evidence guiding clinical decision-making lags behind,which cannot meet the needs of rapid decision-making.With the continuous progress in artificial intelligence and big data analysis tools,researchers have attempted to introduce visual presentations to improve the timeliness of clinical decision-making.Through the interpretation of the outcomes of SR and meta-analysis,this paper presents different visualization results from the perspective of patients and clinical decision-makers,which not only helps the majority of people without medical background understand clinical evidence more intuitively and participate in the process of clinical decision-making,but also helps improve residents'health literacy,promotes the dissemination and sharing of knowledge,and provides references for further promoting the technology of automatic decision-making system.
关键词
系统评价/Meta分析/循证医学/共同决策/可视化呈现Key words
Systematic review/Meta-analysis/Evidence-based medicine/Shared decision-making/Visualization引用本文复制引用
出版年
2024
NETL
NSTL
万方数据